1 files changed, 45 insertions, 1 deletions
diff --git a/gantools/cli.py b/gantools/cli.py
index df648c5..efabcae 100644
--- a/gantools/cli.py
+++ b/gantools/cli.py
@@ -1,3 +1,47 @@
+import sys, argparse
+import ganbreeder
+import biggan
+import latent_space
+import image_utils
+
 # create entrypoints for cli tools
 def main():
-    print("Hello World")
+    ## handle args
+    parser = argparse.ArgumentParser(description='GAN tools')
+    # load from ganbreeder
+    parser.add_argument('-u', '--username', help='Ganbreeder account email address/username.')
+    parser.add_argument('-p', '--password', help='Ganbreeder account password.')
+    parser.add_argument('-k', '--keys', nargs='+', help='Ganbreeder keys.')
+    parser.add_argument('-n', '--nframes', metavar='N', type=int, help='Total number of frames in the final animation.', default=10)
+    parser.add_argument('-b', '--nbatch', metavar='N', type=int, help='Number of frames in each \'batch\' \
+            (note: the truncation value can only change once per batch. Don\'t fuck with this unless you know \
+            what it does.).', default=1)
+    parser.add_argument('-p', '--pathprefix', help='Directory path and file prefix for output images.')
+    parser.add_argument('-r', '--radius', metavar='N', type=int, help='effect radius', default=10)
+    parser.add_argument('-c', '--count', metavar='N', type=int, help='effect count parameter', default=10)
+    parser.add_argument('-d', '--duration', metavar='N', type=float, help='frame duration', default=100)
+    args = parser.parse_args()
+    # validate args
+    if args.keys and not (args.username and args.password):
+        parser.error('The --keys argument requires a --username and --password to login to ganbreeder')
+        sys.exit(1)
+
+    # get animation keyframes from ganbreeder
+    print('Downloading keyframe info from ganbreeder...')
+    keyframes = ganbreeder.get_info_batch(args.username, args.password, args.keys)
+
+    # interpolate path through input space
+    print('Interpolating path through input space...')
+    z_seq, label_seq, truncation_seq = latent_space.sequence_keyframes(keyframes, args.nframes, batch_size)
+
+    # sample the GAN
+    print('Loading bigGAN...')
+    gan = BigGAN()
+    print('Sampling from bigGAN...')
+    ims = gan.sample(z_seq, label_seq, truncation_seq, batch_size)
+
+    # save images to file
+    print('Saving image files: '+args.pathprefix)
+    save_images(ims, args.pathprefix)
+
+    print('Done.')